I am trying to derive Land Surface Temperature(LST) from Sentinel 3 SLSTR dataset. The given literature talks about split-window and dual angle algorithms - Link
Ts = Ti + c1(Ti- Tj) + c2 (Ti- Tj)2 + c0 + (c3 + c4W)(1 - εn)+(c5 + c6W)Δε T = at-sensor brightness temperature at bands “i” and “j” W = total atmospheric water vapor ε = mean emissivity Δε = emissivity difference at the two bands c0-c6 = Derived from statistical simulation
Emissivity calculation can be done as mentioned in the paper itself. However, I am not sure how to go about c0-c6 for split window. They might have carried out some statistical regression on ground/airborne datasets.
Is it possible to simulate MODIS LST and TIR Bands/any other satellite dataset (with dual angle algorithm) and then calculate the coefficients? I may also have access to weather station data for my region.